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--- |
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library_name: transformers |
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datasets: |
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- SmallDoge/SmallCorpus |
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--- |
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# Doge2-tokenizer |
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Tokenizer for the training model on [SmallCorpus](https://huggingface.co/datasets/SmallDoge/SmallCorpus), supporting document retrieval, tool invocation, and reasoning. |
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This tokenizer was trained on 2M samples from: |
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- Web-EN 50% |
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- Web-ZH 20% |
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- TextBook-EN 15% |
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- TextBook-ZH 5% |
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- Code 5% |
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- Math 5% |
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## How to use |
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<details> |
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<summary>Only conversation</summary> |
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```python |
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from transformers import AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained("SmallDoge/Doge2-tokenizer") |
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conversation = [ |
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{"role": "system", "content": "You are a helpful assistant."}, |
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{"role": "user", "content": "What's wrong with Cheems? What treatment does he need?"}, |
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{"role": "assistant", "content": "Based on Cheems' symptoms, I recommend the following treatment: For Cheems with severe kidney deficiency, it is recommended to eat more leeks and oysters."}, |
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] |
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inputs = tokenizer.apply_chat_template( |
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conversation=conversation, |
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tokenize=False, |
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) |
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print(inputs) |
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``` |
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```shell |
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<|im_start|>system |
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You are a helpful assistant.<|im_end|> |
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<|im_start|>user |
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What's wrong with Cheems? What treatment does he need?<|im_end|> |
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<|im_start|>assistant |
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<think> |
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</think> |
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Based on Cheems' symptoms, I recommend the following treatment: For Cheems with severe kidney deficiency, it is recommended to eat more leeks and oysters.<|im_end|> |
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``` |
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</details> |
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<details> |
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<summary>With documents</summary> |
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```python |
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from transformers import AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained("SmallDoge/Doge2-tokenizer") |
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documents = [ |
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{ |
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"title": "Cheems's case", |
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"text": "Cheems is a 233-year-old alchemist, but he is very kidney deficient." |
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}, |
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] |
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conversation = [ |
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{"role": "system", "content": "You are a helpful assistant."}, |
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{"role": "user", "content": "What's wrong with Cheems? What treatment does he need?"}, |
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{"role": "assistant", "content": "Based on Cheems' symptoms, I recommend the following treatment: For Cheems with severe kidney deficiency, it is recommended to eat more leeks and oysters."}, |
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] |
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inputs = tokenizer.apply_chat_template( |
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documents=documents, |
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conversation=conversation, |
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tokenize=False, |
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) |
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print(inputs) |
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``` |
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```shell |
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<|im_start|>system |
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You are a helpful assistant. |
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You have access to the following documents. Please use them to answer the user's question. |
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Title: Cheems's case |
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Content: Cheems is a 233-year-old alchemist, but he is very kidney deficient. |
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If the documents don't contain relevant information, rely on your general knowledge but acknowledge when you're doing so.<|im_end|> |
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<|im_start|>user |
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What's wrong with Cheems? What treatment does he need?<|im_end|> |
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<|im_start|>assistant |
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<think> |
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</think> |
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Based on Cheems' symptoms, I recommend the following treatment: For Cheems with severe kidney deficiency, it is recommended to eat more leeks and oysters.<|im_end|> |
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``` |
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</details> |
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<details> |
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<summary>With tools</summary> |
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```python |
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from transformers import AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained("SmallDoge/Doge2-tokenizer") |
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tools = [ |
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{ |
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"name": "recommend_treatment", |
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"description": "Treatment is recommended based on patient symptoms and diagnosis.", |
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"arguments": { |
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"type": "object", |
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"properties": { |
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"diagnosis": { |
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"type": "string", |
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"description": "Patient diagnostic results" |
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}, |
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"severity": { |
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"type": "string", |
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"enum": ["mild", "moderate", "severe"], |
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"description": "Severity of the condition, can be mild, moderate, or severe." |
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} |
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}, |
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"required": ["diagnosis", "severity"] |
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} |
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} |
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] |
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conversation = [ |
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{"role": "system", "content": "You are a helpful assistant."}, |
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{"role": "user", "content": "What's wrong with Cheems? What treatment does he need?"}, |
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{"role": "assistant", "content": "<tool_call>\n{\"name\": \"recommend_treatment\", \"arguments\": {\"diagnosis\": \"Deficiency of kidney\", \"severity\": \"severe\"}}\n</tool_call>"}, |
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{"role": "tool", "content": "For Cheems with severe kidney deficiency, it is recommended to eat more leeks and oysters."}, |
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{"role": "assistant", "content": "Based on Cheems' symptoms, I recommend the following treatment: For Cheems with severe kidney deficiency, it is recommended to eat more leeks and oysters."}, |
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] |
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inputs = tokenizer.apply_chat_template( |
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tools=tools, |
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conversation=conversation, |
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tokenize=False, |
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) |
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print(inputs) |
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``` |
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```shell |
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<|im_start|>system |
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You are a helpful assistant. |
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You may call one or more functions to assist with the user query. You are provided with function signatures within <tools></tools> XML tags: |
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<tools> |
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{"name": "recommend_treatment", "description": "Treatment is recommended based on patient symptoms and diagnosis.", "arguments": {"type": "object", "properties": {"diagnosis": {"type": "string", "description": "Patient diagnostic results"}, "severity": {"type": "string", "enum": ["mild", "moderate", "severe"], "description": "Severity of the condition, can be mild, moderate, or severe."}}, "required": ["diagnosis", "severity"]}} |
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</tools> |
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For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags: |
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<tool_call> |
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{"name": <function-name>, "arguments": <args-json-object>} |
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</tool_call><|im_end|> |
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<|im_start|>user |
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What's wrong with Cheems? What treatment does he need?<|im_end|> |
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<|im_start|>assistant |
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<tool_call> |
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{"name": "recommend_treatment", "arguments": {"diagnosis": "Deficiency of kidney", "severity": "severe"}} |
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</tool_call><|im_end|> |
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<|im_start|>user |
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<tool_response> |
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For Cheems with severe kidney deficiency, it is recommended to eat more leeks and oysters. |
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</tool_response><|im_end|> |
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<|im_start|>assistant |
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<think> |
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</think> |
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Based on Cheems' symptoms, I recommend the following treatment: For Cheems with severe kidney deficiency, it is recommended to eat more leeks and oysters.<|im_end|> |
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``` |
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</details> |
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<details> |
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<summary>With reasoning</summary> |
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```python |
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from transformers import AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained("SmallDoge/Doge2-tokenizer") |
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conversation = [ |
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{"role": "system", "content": "You are a helpful assistant."}, |
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{"role": "user", "content": "What's wrong with Cheems? What treatment does he need?"}, |
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{"role": "assistant", "reasoning_content": "Cheems is a dog, a old dog. He is been around for a long time, so his innards are not as good as before. If he is not careful, he will get kidney deficiency. He needs to eat more leeks and oysters.", "content": "Based on Cheems' symptoms, I recommend the following treatment: For Cheems with severe kidney deficiency, it is recommended to eat more leeks and oysters."}, |
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] |
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inputs = tokenizer.apply_chat_template( |
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conversation=conversation, |
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tokenize=False, |
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) |
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print(inputs) |
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``` |
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```shell |
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<|im_start|>system |
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You are a helpful assistant.<|im_end|> |
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<|im_start|>user |
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What's wrong with Cheems? What treatment does he need?<|im_end|> |
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<|im_start|>assistant |
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<think> |
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Cheems is a dog, a old dog. He is been around for a long time, so his innards are not as good as before. If he is not careful, he will get kidney deficiency. He needs to eat more leeks and oysters. |
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</think> |
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Based on Cheems' symptoms, I recommend the following treatment: For Cheems with severe kidney deficiency, it is recommended to eat more leeks and oysters.<|im_end|> |
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``` |
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</details> |
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<details> |
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<summary>With documents tools reasoning</summary> |
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```python |
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from transformers import AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained("SmallDoge/Doge2-tokenizer") |
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|
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documents = [ |
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{ |
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"title": "Cheems's case", |
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"text": "Cheems is a 233-year-old alchemist, but he is very kidney deficient." |
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}, |
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] |
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|
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tools = [ |
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{ |
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"name": "recommend_treatment", |
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"description": "Treatment is recommended based on patient symptoms and diagnosis.", |
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"arguments": { |
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"type": "object", |
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"properties": { |
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"diagnosis": { |
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"type": "string", |
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"description": "Patient diagnostic results" |
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}, |
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"severity": { |
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"type": "string", |
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"enum": ["mild", "moderate", "severe"], |
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"description": "Severity of the condition, can be mild, moderate, or severe." |
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} |
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}, |
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"required": ["diagnosis", "severity"] |
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} |
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} |
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] |
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conversation = [ |
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{"role": "system", "content": "You are a helpful assistant."}, |
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{"role": "user", "content": "What's wrong with Cheems? What treatment does he need?"}, |
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{"role": "assistant", "content": "<tool_call>\n{\"name\": \"recommend_treatment\", \"arguments\": {\"diagnosis\": \"Deficiency of kidney\", \"severity\": \"severe\"}}\n</tool_call>"}, |
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{"role": "tool", "content": "For Cheems with severe kidney deficiency, it is recommended to eat more leeks and oysters."}, |
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{"role": "assistant", "reasoning_content": "Cheems is a dog, a old dog. He is been around for a long time, so his innards are not as good as before. If he is not careful, he will get kidney deficiency. He needs to eat more leeks and oysters.", "content": "Based on Cheems' symptoms, I recommend the following treatment: For Cheems with severe kidney deficiency, it is recommended to eat more leeks and oysters."}, |
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] |
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inputs = tokenizer.apply_chat_template( |
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documents=documents, |
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tools=tools, |
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conversation=conversation, |
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tokenize=False, |
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) |
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print(inputs) |
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``` |
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```shell |
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<|im_start|>system |
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You are a helpful assistant. |
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|
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You have access to the following documents. Please use them to answer the user's question. |
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|
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Title: Cheems's case |
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Content: Cheems is a 233-year-old alchemist, but he is very kidney deficient. |
|
|
|
|
|
If the documents don't contain relevant information, rely on your general knowledge but acknowledge when you're doing so. |
|
|
|
|
|
You may call one or more functions to assist with the user query. You are provided with function signatures within <tools></tools> XML tags: |
|
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|
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|
<tools> |
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{"name": "recommend_treatment", "description": "Treatment is recommended based on patient symptoms and diagnosis.", "arguments": {"type": "object", "properties": {"diagnosis": {"type": "string", "description": "Patient diagnostic results"}, "severity": {"type": "string", "enum": ["mild", "moderate", "severe"], "description": "Severity of the condition, can be mild, moderate, or severe."}}, "required": ["diagnosis", "severity"]}} |
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</tools> |
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For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags: |
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<tool_call> |
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{"name": <function-name>, "arguments": <args-json-object>} |
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</tool_call><|im_end|> |
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<|im_start|>user |
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What's wrong with Cheems? What treatment does he need?<|im_end|> |
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<|im_start|>assistant |
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<tool_call> |
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{"name": "recommend_treatment", "arguments": {"diagnosis": "Deficiency of kidney", "severity": "severe"}} |
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</tool_call><|im_end|> |
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<|im_start|>user |
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<tool_response> |
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For Cheems with severe kidney deficiency, it is recommended to eat more leeks and oysters. |
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</tool_response><|im_end|> |
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<|im_start|>assistant |
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<think> |
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Cheems is a dog, a old dog. He is been around for a long time, so his innards are not as good as before. If he is not careful, he will get kidney deficiency. He needs to eat more leeks and oysters. |
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</think> |
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Based on Cheems' symptoms, I recommend the following treatment: For Cheems with severe kidney deficiency, it is recommended to eat more leeks and oysters.<|im_end|> |
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``` |
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</details> |
